🎉 Welcome to the AI4Life - Open Calls repository 🎉
Each year, several projects are selected for deep learning support. The AI4Life Open Calls team then spend 6 months investigating ways to improve existing workflows and the applicability of deep learning to the selected projects.
In this repository, you can find a list of the finalized pipelines for each Open Call.
- 3 - Treat CKD
- 6 - Murine skeletal muscle analysis
- 10 - Image-guided gating strategy for image-enabled cell sorting of phytoplankton
- 11 - Segmentation and tracking of epithelial cells
- 47 - Automated detection and quantification of senescent cells
- 52 - Atlas of Symbiotic partnerships in plankton
- 66 - Automated and integrated cilia profiling
- 74 - Leaf tracker plant species proof
- 11 - Automated species annotation in turbid waters
- 13 - Optimizing calcium image acquisition with machine learning denoising algorithms
- 23 - Enhancing the effective resolution of intravital microscopy with digital expansion microscopy
- 14 - Diatom symbioses at planetary scale
- 21 - Automated segmentation of actin filaments in intact cells (EM)
- 26 - Ultrastructural protein mapping through Correlation of Light and Electron Microscopy
- 38 - NeuroScan - A 3D human motor neuron disease platform for high throughput drug screening
AI4Life has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement number 101057970. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.